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from textblob.classifiers import NaiveBayesClassifier | |
from textblob import TextBlob | |
train = [ | |
('I love this sandwich.', 'pos'), | |
('This is an amazing place!', 'pos'), | |
('I feel very good about these beers.', 'pos'), | |
('This is my best work.', 'pos'), | |
("What an awesome view", 'pos'), | |
('I do not like this restaurant', 'neg'), | |
('I am tired of this stuff.', 'neg'), | |
("I can't deal with this", 'neg'), | |
('He is my sworn enemy!', 'neg'), | |
('My boss is horrible.', 'neg') | |
] | |
test = [ | |
('The beer was good.', 'pos'), | |
('I do not enjoy my job', 'neg'), | |
("I ain't feeling dandy today.", 'neg'), | |
("I feel amazing!", 'pos'), | |
('Gary is a friend of mine.', 'pos'), | |
("I can't believe I'm doing this.", 'neg') | |
] | |
cl = NaiveBayesClassifier(train) | |
# Classify some text | |
print(cl.classify("Their burgers are amazing.")) # "pos" | |
print(cl.classify("I don't like their pizza.")) # "neg" | |
# Classify a TextBlob | |
blob = TextBlob("The beer was amazing. But the hangover was horrible. " | |
"My boss was not pleased.", classifier=cl) | |
print(blob) | |
print(blob.classify()) | |
for sentence in blob.sentences: | |
print(sentence) | |
print(sentence.classify()) | |
# Compute accuracy | |
print("Accuracy: {0}".format(cl.accuracy(test))) | |
# Show 5 most informative features | |
cl.show_informative_features(5) | |
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I got error when i try to compile this program .errors are in line in which it is importing textblob